[R] exporting clustering results to table

[Dave Roberts]

Martin,

     The cutree() function returns the cluster membership as a vector. 
To get a similar result from pam() (and other functions in library 
cluster) you need to extract the component $clustering, e.g.

 > clustersA <- pam(distances, nkA, diss=TRUE)
 > filenameclu = paste("filenameclu", ".txt")
 > write.table(clustersA$clustering, file=filenameclu,sep=",")

Note the $clustering appended to the pam object.

Dave R.

Martin Tomko wrote:
> Hello list,
> 
> the following approach did not work:
> 
> clustersA <- pam(distances, nkA, diss=TRUE);
> gc();
> filenameclu = paste("filenameclu", ".txt");
> write.table(clustersA , file=filenameclu,sep=",");
> 
> although it worked with
> clustersA <- hclust(distances, method="ward");
> and a consecutive
> kclassA <- cutree(clustersA, k=nkA);
> filename = paste("clusters", ".txt");
> write.table(kclassA,file=filename,sep=",",col.names=TRUE,row.names=TRUE);
> 
> Is there a <em>generic</em> method to export cluster object? I know that 
> pam is different (cluster object and some more data)- how can I extract 
> & export the clustering into a table with two columns, ID = 
> dissimilarity matrix row, and cluster = number of the cluster?
> 
> I waas using sink to get the data, but for large matrices it involves a 
> huge amount of manual formatting afterwards, let's say in excel.
> 
> Thanks many times
> Martin
> 
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